Model 1 analysis
Benjamin Mercier
Last updated on 13 October, 2022
Model 1
Description of the model
Model 1 fits the flux between a prey (i) and its predator (j) only based on mass-action (biomass of prey and abundance of predators). The scaling parameters \(\alpha\) is general to every predator. \[\begin{align}
F_{ij}^{real} &= \alpha * B_i * \frac{B_j}{M_j}
\end{align}\]
Summary table
| mean | se_mean | sd | 2.5% | 25% | 50% | 75% | 97.5% | n_eff | Rhat | |
|---|---|---|---|---|---|---|---|---|---|---|
| a_pop | -9.794809 | 0.0013938 | 0.1334517 | -10.054827 | -9.886380 | -9.794931 | -9.704427 | -9.535787 | 9166.829 | 0.9998107 |
| sigma | 4.118219 | 0.0009358 | 0.0941970 | 3.936818 | 4.054755 | 4.116993 | 4.180425 | 4.307064 | 10133.064 | 0.9999428 |
Exploring parameters posterior distribution
General parameters
Traceplots
Simulated data vs observed data
